The Internet of AI Agents (IAIA): A New Frontier in Networked and Distributed Intelligence

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has led to the emergence of the Artificial Intelligence of Things (AIoT), a paradigm that enhances distributed intelligence across interconnected systems. This paper explores the evolutionary shift from AIoT towards the Internet of Artificial Intelligence Agents (IAIA), a transformative framework in which autonomous, networked AI agents engage in collaborative decision-making, real-time learning, and adaptive problem solving. By integrating edge computing, federated learning, and decentralized architectures, IAIA transcends the limitations of conventional IoT and AIoT models, enabling a scalable, resilient, and intelligent ecosystem. We analyze key enablers, including 5G/6G connectivity, blockchain for trust and security, and swarm intelligence for emerging behaviors. Furthermore, we discuss cross-domain applications that span smart cities, healthcare, industrial automation, and next-generation cyber-physical systems. Finally, we outline the critical challenges, such as governance, security, and ethical AI, and propose a roadmap for the widespread adoption of IAIA. This work provides a foundational perspective on the future of intelligent distributed systems, setting the stage for a new era of AI-driven, self-organizing networks.